We introduce key optimizations to the 20 year old K-SVD algorithm, show that it can match sparse autoencoder performance for interpreting LLM embeddings, and provide theoretical insights into the feasability of the dictionary learning formulation.
Data-driven methods make it easy to explore unconventional robot design to unlock novel capabilities. Meet RoboPanoptes: The All-Seeing Robot with Whole-body Dexterity, and Dynamics-Guided Diffusion Model for Sensor-less Robot Manipulator Design!
Data-driven methods make it easy to explore unconventional robot design to unlock novel capabilities. Meet RoboPanoptes: The All-Seeing Robot with Whole-body Dexterity, and Dynamics-Guided Diffusion Model for Sensor-less Robot Manipulator Design!
Andy K. Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, et al.
We introduce BountyBench, a cybersecurity benchmark featuring 25 systems with complex, real-world codebases, and 40 bug bounties that cover 9 of the OWASP Top 10 Web Application Security Risks.
How do LLMs memorize long sequences of texts verbatim? In this work, we show that verbatim memorization is intertwined with the LM’s general capabilities.
